🚀 I’m a system-focused engineer passionate about embedded control, robotics, and intelligent system integration.
🎓 MSc in IoT Systems Engineering @ UCL (2024–2025), BEng in Automation @ NEU (2020–2024).
🧠 I build things that span hardware to AI — with embedded control as the core and multi-disciplinary systems as the structure.

嵌入式控制系统 | 机器人系统构建 | AIoT 融合系统

• Mastery of STM32 (F1/F4), RTOS, ROS1/2, multi-sensor fusion, control algorithm tuning
• PCB design, mechanical CAD + 3D printing, closed-loop system realization
• LoRa-based IoT, AI model compression + deployment on edge devices

Whole-body aerial manipulation based on MPPI; integrated dynamic modeling and multi-body control.

Embedded system + LoRa + AI model to detect waterborne coliforms using non-traditional sensing.
🏆 Winner of UCL Best Tech Prize; [publication in progress].

Addressing simulation-to-reality gaps in control and planning systems.

Low-cost joint design for robotic arms with optimized structural tolerance.
📄 Selected as Excellent Graduation Thesis @ NEU.

• Fixed-wing flight controller (proj_flight_ctrl) — attitude estimation, GPS waypoint nav, RTL
• AGV omnidirectional platform (proj_agv_platform) — closed-loop motion control + anti-slip logic
• FFT oscilloscope + waveform generator (proj_signal_gen) — PCB-level signal debugging tools
• IoT solar garden system (proj_iot_solar) — off-grid MPPT + BMS + camera surveillance

• 📝 A Waterborne Fecal Contamination Using Inorganic Surrogates and Machine Learning, MDPI Senbsors, on going, 2025
• 📝 Joint Design in Robotic Arm Systems, NEU Outstanding Thesis, 2024
• 📝 Wheel-Leg Coordination for Stair-Climbing Robots, Journal of Field Robotics, 2022
• 🧾 3 patents (motor calibration, magnetic leakage detection, adaptive speed sensing) — details in resume

• Email: zhuohang2024@163.com
• Resume: PDF_CH and PDF_EN
• Languages: Mandarin 🇨🇳 | English 🇬🇧 (TOEFL 104)

🧭 Building systems that make sense, move cleanly, and adapt intelligently.